Implicit representations via the polynomial method
Jean Cardinal, Micha Sharir

TL;DR
This paper introduces polynomial partitioning techniques to create compact adjacency labels for semialgebraic graphs, enabling adjacency determination solely from labels, with improved bounds over previous methods.
Contribution
It develops new labeling schemes for semialgebraic graphs, including unit disk and segment intersection graphs, with significantly reduced label sizes compared to natural coordinate-based representations.
Findings
Labels for unit disk graphs are of size O(n^{1/3 + ε}) bits.
Semilinear graphs have adjacency labels of size O(log n).
Polygon visibility graphs have adjacency labels of size O(log^3 n).
Abstract
Semialgebraic graphs are graphs whose vertices are points in , and adjacency between two vertices is determined by the truth value of a semialgebraic predicate of constant complexity. We show how to harness polynomial partitioning methods to construct compact adjacency labeling schemes for families of semialgebraic graphs. That is, we show that for any family of semialgebraic graphs, given a graph on vertices in this family, we can assign a label consisting of bits to each vertex (where can be made arbitrarily small and the constant of proportionality depends on and on the complexity of the adjacency-defining predicate), such that adjacency between two vertices can be determined solely from their two labels, without any additional information. We obtain for instance that unit disk graphs and segment…
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